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**Definition:**

The shape of a distribution is characterized by its number of peaks and by its possession of symmetry, its possibility to skew, or its uniformity.

**Summary:**

The shape of a statistical distribution can be:

**SYMMETRICAL**

- A distribution that is not skewed.
- It is also known as the “Normal Distribution”.
- It is perfectly symmetrical.
- The mean, media, and mode are having the same value and located at the peak and center of the distribution.

**NEGATIVE SKEW**

- The long tail of the curve falls on the negative side of the curve.
- It is also known as the “Skewed to the left distribution”.
- The mean of the distribution is located at the left side of the peak.

**POSITIVE SKEW**

- The long tail of the curve falls on the positive side of the curve.
- It is also known as the “Skewed to the right distribution”.
- The mean of the distribution is located at the right side of the peak.

A distribution can also be shaped depending on its flatness and/or uniformity.

**Flat – **All scores are having equal frequency. Another type of symmetric distribution.**Bimodal – **A distribution with two modal scores.**Multimodal – **A distribution with more than two modal scores.

## Examining Shapes of Distribution Worksheets

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